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@hvanhovell ?
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Github user ueshin commented on the issue:
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The performance test I did in my local based on @BryanCutler's
(https://github.com/apache/spark/pull/18659#issuecomment-315879173) is as
follows:
```python
from pyspark.sql.functions imp
Github user gatorsmile commented on the issue:
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Spark SQL might not be deployed in the HDFS system. Conceptually, this
HDFS-specific codes should not be part of our `HiveExternalCatalog`
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GLTM. @gatorsmile , would you please take a look at this PR, is it good for
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This is not `[CORE]`. The title should be updated to `[SQL]`
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cc @cloud-fan or @hvanhovell This should be a straightforward change.
Please take a quick look. Thanks.
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cc @BryanCutler @HyukjinKwon @viirya @cloud-fan
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[SPARK-22125][PYSPARK][SQL] Enable Arrow Stream format for vectorized UDF.
## What changes were proposed in this pull request?
Currently we use Arrow File format to communicate with Python w
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3250,6 +3250,7 @@ setMethod("attach",
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war
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@gatorsmile if you get time, please check this. thanks.
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[BUILD] Close stale PRs
Closes #13794
Closes #18474
Closes #18897
Closes #18978
Closes #19152
Closes #19238
Closes #19295
Closes #19334
Closes #19335
Closes #
Github user gatorsmile commented on the issue:
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LGTM
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Thanks for your work!
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cc @zsxwing for review. Thanks.
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ping @rik-coenders
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@ithjz, If you'd like to ask a question, please ask this to the mailing
list (see https://spark.apache.org/community.html).
Could you close this please?
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Can one of the admins verify this patch?
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Branch 2.2 sparkmlib'soutput of many algorithms is not clear
What's the use of these **results?**
JavaGradientBoostingRegressionExample
Test Mean
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Please fix the title.
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ok to test.
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@HyukjinKwon @jerryshao @ajbozarth
In the new PR I fix the indentation problem.
Thanks.
The latest verification results are as followsï¼
 in the SQL web ui.
## What changes were proposed in this pull request?
propose:
it provide links that jump to Running Queri
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Sorry, I accidentally deleted the code branch. I'm going to close this PR.
I created a new PR https://github.com/apache/spark/pull/19346, which was
modified and created based on the latest co
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Spark should provide jump links and add (count) in the SQL web ui.
## What changes were proposed in this pull request?
propose:
it provide links that jump to Running Queries
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kindly ping
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å¨spark-user listæé®å§ï¼
http://apache-spark-user-list.1001560.n3.nabble.com/
2017-09-25 11:29 GMT+08:00 listenLearning :
>
æ¨å¥½ï¼æè¿æå¨å¼åçæ¶åéå°ä¸ä¸
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[SPARK-22124][SQL] Sample and Limit should also defer input evaluation
under codegen
## What changes were proposed in this pull request?
We can override `usedInputs` to claim that an operat
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetBlacklist.scala ---
@@ -94,7 +96,9 @@ private[scheduler] class TaskSetBlacklist(val conf:
S
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2187,28 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function
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@@ -2183,14 +2187,28 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2187,28 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function if u
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Thanks for your time @squito I will open an other jira for this pr.And
update code as soon as possible.
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There's still left comment not addressed.
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GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/19344
[SPARK-22122][SQL] Respect WITH clauses to count input rows in
TPCDSQueryBenchmark
## What changes were proposed in this pull request?
Since the current code ignores WITH clauses to check input
Github user SparkQA commented on the issue:
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19325#discussion_r140938172
--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2187,28 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/18015
I think @jerryshao is an active committer who knows this one better than
me. Since he is here, let me leave it to him.
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